Hua-Jun Zeng

11 papers and 484 indexed citations i.

About

Hua-Jun Zeng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hua-Jun Zeng has authored 11 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hua-Jun Zeng’s work include Web Data Mining and Analysis (5 papers), Text and Document Classification Technologies (5 papers) and Natural Language Processing Techniques (4 papers). Hua-Jun Zeng is often cited by papers focused on Web Data Mining and Analysis (5 papers), Text and Document Classification Technologies (5 papers) and Natural Language Processing Techniques (4 papers). Hua-Jun Zeng collaborates with scholars based in China, United States and Hong Kong. Hua-Jun Zeng's co-authors include Zheng Chen, Qiang Yang, Jian Hu, Wei‐Ying Ma, Pu Wang, Dou Shen, Yiming Yang, Zheng Chen, Hao Wan and Yuchang Lu and has published in prestigious journals such as Information Sciences, Data Mining and Knowledge Discovery and Knowledge and Information Systems.

In The Last Decade

Co-authorship network of co-authors of Hua-Jun Zeng i

Fields of papers citing papers by Hua-Jun Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua-Jun Zeng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hua-Jun Zeng. The network helps show where Hua-Jun Zeng may publish in the future.

Countries citing papers authored by Hua-Jun Zeng

Since Specialization
Citations

This map shows the geographic impact of Hua-Jun Zeng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hua-Jun Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua-Jun Zeng more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2025